Technical Lead - Reliability Analysis

Play a critical role in the development of new life sciences technology as a Sr. Reliability Engineer I in the Reliability Engineering team within R&D, enabling our products to realize their promise to improve human health. Be a leader of multiple reliability projects. Guide project teams through reliability specification, reliability allocation, component reliability test planning and execution, defect prioritization, and system reliability testing. Assess product risk through data-driven statistical analysis. Be an ambassador of customer experience, design quality, and reliability., * Lead and monitor multiple reliability projects

• Provide reliability risk assessments to cross-functional teams and executive leadership.
• Create and implement test plans to effectively mitigate risks in new product designs.
• Facilitate and direct multidisciplinary discussions to evaluate technical risk through FMEA.
• Leverage internal and external resources to complete reliability test plans.
• Record, organize, and manage large amounts of detailed test data.
• Methodically analyze test data and interpret results for critical reliability decision-making.
• Troubleshoot instrument failures and/or reliability issues as necessary.
• Direct, execute, and document root cause investigations.
• Guide the team to corrective action identification, implementation, and validation.
• Escalate top issues by providing clear, well-structured, high-level updates.
• Provide engineering input for new designs to ensure reliable and robust products

• Knowledge of reliability fundamentals and understanding of reliability analysis (i.e., life predictions, product life modeling, root cause analysis, environmental testing, accelerated testing, etc.)
• Applies technical standards, principles, concepts, and techniques to solve problems.
• Excellent communication skills at technical and program level., * A minimum of a Bachelor’s degree in engineering or related discipline.
• 5 years of reliability engineering experience or experience performing tests to collect experimental data and performing statistical analyses to interpret results. (2 years may be substituted with advanced degree in engineering or related discipline)
• 7 years of experience working in reliability discipline.
• Knowledge of fluidic, optical, and/or electro-mechanical systems.
• Experience with test automation (LabView, Arduino, etc.).
• Experience utilizing FMEA to guide team discussions and priorities.
• Statistical knowledge, especially related to six sigma tools and methodology, design of experiments, and reliability modelling.
• Experience managing large sets of data using data processing tools such as Minitab, MATLAB, JMP, or R., 1. Optional But Valuable Certifications: Certified Reliability Engineer (Cre) Or Reliability And Maintainability Engineering Certification.